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PyConFR 2018 - Forecasting and observing Airfare trends with Python and Neural Networks - Anuj Menta

PyConFR 2018 - Forecasting and observing Airfare trends with Python and Neural Networks - Anuj Menta

PyConFR 2018 - Visualising the world of competitive programming with Python - Anuj Menta

PyConFR 2018 - Visualising the world of competitive programming with Python - Anuj Menta

PyConFR 2018 - Releasing OpenStack: feedback from the field - Haïkel Guémar

PyConFR 2018 - Releasing OpenStack: feedback from the field - Haïkel Guémar

PyConFR 2018 - Convolution Network in vanilla Python - Prakhar Srivastava

PyConFR 2018 - Convolution Network in vanilla Python - Prakhar Srivastava

PyconFR 2018 - The emergence of consensus in the Python community - Julien Palard

PyconFR 2018 - The emergence of consensus in the Python community - Julien Palard

PyConFR 2018 - The rise of Python in the data communities - Alexys Jacob

PyConFR 2018 - The rise of Python in the data communities - Alexys Jacob

PyconFR 2018 - Science and Open Source: what do we learn from each other ? - Viviane Pons

PyconFR 2018 - Science and Open Source: what do we learn from each other ? - Viviane Pons

PyConFR 2018 - DIY guide Speech-to-text with DeepSpeech AND Text-to-speech with WaveNet - Kajal Puri

PyConFR 2018 - DIY guide Speech-to-text with DeepSpeech AND Text-to-speech with WaveNet - Kajal Puri

PyconFR 2018 - Mask R-CNN in Lane Detection - Facundo Calcagno

PyconFR 2018 - Mask R-CNN in Lane Detection - Facundo Calcagno

PyConFR 2018 - Python-powered Data Science in E-commerce - Pietro Fodra

PyConFR 2018 - Python-powered Data Science in E-commerce - Pietro Fodra

PyConFR 2018 - The Great Library of (Python) Source Code - Nicolas Dandrimont and Stefano Zacchiroli

PyConFR 2018 - The Great Library of (Python) Source Code - Nicolas Dandrimont and Stefano Zacchiroli

PyConFR 2018 - Containers for developers - Sami Makki & Vincent Maillol

PyConFR 2018 - Containers for developers - Sami Makki & Vincent Maillol

PyConFR 2018 - Metric-learn: a scikit-learn compatible package for metric learning - W. de Vazelhes

PyConFR 2018 - Metric-learn: a scikit-learn compatible package for metric learning - W. de Vazelhes

PyConFR 2018 - Python and PostgreSQL: let's work together! - Dimitri Fontaine

PyConFR 2018 - Python and PostgreSQL: let's work together! - Dimitri Fontaine

PyConFR 2018 - A multi-core Python HTTP server (much) faster than Go (spoiler: Cython) - J.-P. Smets

PyConFR 2018 - A multi-core Python HTTP server (much) faster than Go (spoiler: Cython) - J.-P. Smets

PyConFR 2018 - Deep Learning the Bayesian way : Moving towards safer AI ! - Ayush Singh

PyConFR 2018 - Deep Learning the Bayesian way : Moving towards safer AI ! - Ayush Singh

PyconFR 2018 - Learn BDD in Python with Behave - Lionel Lonkap

PyconFR 2018 - Learn BDD in Python with Behave - Lionel Lonkap

PyconFR 2018 - Tester mieux, tester moins, avec Hypothesis - Thierry Chappuis

PyconFR 2018 - Tester mieux, tester moins, avec Hypothesis - Thierry Chappuis

PyConFR 2018 - Calculer la QOS de vos infrastructures avec Asyncio - Nicolas Crocfer & Anthony Olea

PyConFR 2018 - Calculer la QOS de vos infrastructures avec Asyncio - Nicolas Crocfer & Anthony Olea

PyConFR 2018 - Leveraging consistent hashing in your python applications - Alexys Jacob

PyConFR 2018 - Leveraging consistent hashing in your python applications - Alexys Jacob

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